AI Engineer

1 week ago

London, United Kingdom Investigo Full time

Job description AI Engineer - GenAI - LLM - Contract - London My client, a leading global consultancy, are looking for an AI Engineer with hands-on implementation of Gen AI solutions required on a contract basis for 6 months plus extensions, with 2 days per week in London. Our client is looking at a pay rate of £615.00 per day (Inside IR35).Role & ResponsibilitiesWorking with business and technology stakeholders and contributing hands-on to the delivery of Gen AI-enabled application development across the EMEA region.Key Responsibilities Hands-on implementation of Gen AI solutions based on approved designs and architectural standardsDevelop, fine-tune and optimise LLMs and Gen AI models for production useBuild, maintain and enhance prompt engineering strategies and retrieval-augmented generation (RAG) pipelinesCollaborate with architects, cloud teams and business stakeholders to ensure secure, scalable and robust deploymentsConduct unit and integration testing, troubleshoot issues and support smooth releases into productionMaintain accurate documentation for code, processes and configurationsMonitor, analyse and improve model performance post-deploymentPartner with Cloud teams to enable secure and maintainable Gen AI solutions aligned with enterprise architecture standardsMonitor the evolving AI landscape and identify relevant applications for the organisationGuide development teams through solution implementation, testing and deploymentProvide guidance and mentorship to other team members Required Skills Experience delivering architectural or Gen AI solutions within a multi-entity, multi-regional financial services environmentProven experience working with senior stakeholders across business and technology functionsExperience architecting and delivering Gen AI solutions across cloud platforms (Microsoft Azure, AWS, OCI, etc.)Strong expertise in developing Gen AI solutions in Python using frameworks such as LangChain, LangGraph, Microsoft Agents SDK or similarExperience with CI/CD pipelines and MLOps practices for AI solutionsHands-on experience in model development and fine-tuningDeep expertise in prompt engineering and RAG solution designPerformance monitoring and optimisation of AI modelsExperience developing and deploying APIs using API GatewayFamiliarity with Azure cloud services for LLM deployments including App Service, Azure Functions and Logic AppsExperience with Azure AI and data services including Azure OpenAI, Azure Cognitive Services, Azure AI Search, Azure Cosmos DB, Azure Data Lake, Microsoft Purview, Power Platform and Microsoft GraphExpertise in LLM integration patterns such as MCP and A2AExperience designing solutions integrating on-premise and cloud systems within regulated environmentsExperience using GitHub Copilot or similar AI-assisted development tools

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